Short Circuit Current Based ANN MPPT For Battery Charging

Photovoltaic is a device that can convert sun’s rays as a source of energy into electricity. However, the erratic intensity of sunlight can cause unstable electricity which generated by photovoltaic. Maximum Power Point Tracking (MPPT) is one of solution to maximize the output power of photovoltaic. Artificial Neural Network (ANN) method used to maximize the output power of photovoltaic. ANN is a computational method based on the neuron system. Short circuit current based ANN MPPT which applied for battery charging was proposed in this paper. The ANN will installed to the microcontroller in order to control the duty cycle for obtaining maximum power from the photovoltaic. Short circuit current from photovoltaic used as input of the ANN method while duty cycle used as the target. Based on the experiment, the MPPT ANN control is able to produce maximum power in various types of irradiance. When compared with the power produced by Non MPPT, MPPT ANN increased the power between 0,1 - 12,63 W on various kinds of irradiance data. When it used to charge the battery for 120 minutes (at 10:30 a.m. - 12:30 p.m.), MPPT ANN was able to increase the battery SOC by 20% while Non MPPT was only able to increase the battery SOC by 15%.